Xiaojin Zhu
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Xiaojin Zhucomputer-science Degrees
Computer Science
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#4921
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Machine Learning
#989
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#1004
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#1873
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#1964
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Computer Science
Xiaojin Zhu's Degrees
- Bachelors Computer Science Fudan University
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(Suggest an Edit or Addition)Xiaojin Zhu's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Semi-Supervised Learning Literature Survey (2005) (4204)
- Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions (2003) (3927)
- Semi-Supervised Learning (2010) (2311)
- Introduction to Semi-Supervised Learning (2009) (1964)
- Learning from labeled and unlabeled data with label propagation (2002) (1616)
- Semi-supervised learning with graphs (2005) (657)
- Combining active learning and semi-supervised learning using Gaussian fields and harmonic functions (2003) (565)
- Incorporating domain knowledge into topic modeling via Dirichlet Forest priors (2009) (453)
- Seeing stars when there aren’t many stars: Graph-based semi-supervised learning for sentiment categorization (2006) (373)
- Learning from Bullying Traces in Social Media (2012) (345)
- Using Machine Teaching to Identify Optimal Training-Set Attacks on Machine Learners (2015) (337)
- A Topic Model for Word Sense Disambiguation (2007) (267)
- Unlabeled data: Now it helps, now it doesn't (2008) (256)
- Improving Diversity in Ranking using Absorbing Random Walks (2007) (246)
- Corleone: hands-off crowdsourcing for entity matching (2014) (240)
- Machine Teaching: An Inverse Problem to Machine Learning and an Approach Toward Optimal Education (2015) (231)
- A Machine Learning Approach to TCP Throughput Prediction (2007) (217)
- Transduction with Matrix Completion: Three Birds with One Stone (2010) (214)
- Nonparametric Transforms of Graph Kernels for Semi-Supervised Learning (2004) (199)
- Data Poisoning Attacks against Autoregressive Models (2016) (196)
- Harmonic mixtures: combining mixture models and graph-based methods for inductive and scalable semi-supervised learning (2005) (187)
- Kernel conditional random fields: representation and clique selection (2004) (176)
- Segmenting hands of arbitrary color (2000) (171)
- How Do Humans Teach: On Curriculum Learning and Teaching Dimension (2011) (160)
- Latent Dirichlet Allocation with Topic-in-Set Knowledge (2009) (152)
- Semi-supervised learning : from Gaussian fields to Gaussian processes (2003) (150)
- Improving trigram language modeling with the World Wide Web (2001) (150)
- Multi-Manifold Semi-Supervised Learning (2009) (136)
- Hunting Elusive Metaphors Using Lexical Resources. (2007) (133)
- Dissimilarity in Graph-Based Semi-Supervised Classification (2007) (131)
- A Framework for Incorporating General Domain Knowledge into Latent Dirichlet Allocation Using First-Order Logic (2011) (130)
- An Overview of Machine Teaching (2018) (124)
- Analysis of National Institutes of Health R01 Application Critiques, Impact, and Criteria Scores: Does the Sex of the Principal Investigator Make a Difference? (2016) (118)
- Persistent Homology: An Introduction and a New Text Representation for Natural Language Processing (2013) (115)
- Who Wrote This Code? Identifying the Authors of Program Binaries (2011) (115)
- Improving early reading comprehension using embodied CAI (2011) (113)
- Whole-sentence exponential language models: a vehicle for linguistic-statistical integration (2001) (106)
- A Text-to-Picture Synthesis System for Augmenting Communication (2007) (105)
- Person Identification in Webcam Images: An Application of Semi-Supervised Learning (2005) (100)
- Data Poisoning against Differentially-Private Learners: Attacks and Defenses (2019) (97)
- Adversarial Attacks on Stochastic Bandits (2018) (95)
- Cross-architecture performance prediction (XAPP) using CPU code to predict GPU performance (2015) (93)
- Online Manifold Regularization: A New Learning Setting and Empirical Study (2008) (90)
- Statistical Debugging Using Latent Topic Models (2007) (90)
- Learning to Analyze Binary Computer Code (2008) (87)
- May All Your Wishes Come True: A Study of Wishes and How to Recognize Them (2009) (82)
- To Join or Not to Join?: Thinking Twice about Joins before Feature Selection (2016) (80)
- Machine Teaching for Bayesian Learners in the Exponential Family (2013) (79)
- Time-Sensitive Dirichlet Process Mixture Models (2005) (77)
- Recovering the toolchain provenance of binary code (2011) (73)
- Semi-supervised classification with hybrid generative/discriminative methods (2007) (70)
- Human Active Learning (2008) (69)
- Policy Poisoning in Batch Reinforcement Learning and Control (2019) (69)
- Fast learning for sentiment analysis on bullying (2012) (68)
- Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning (2020) (68)
- Optimal Teaching for Limited-Capacity Human Learners (2014) (67)
- Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest (2020) (66)
- Inferring air pollution by sniffing social media (2014) (65)
- The five W's of "bullying" on Twitter: Who, What, Why, Where, and When (2015) (64)
- Extracting compiler provenance from program binaries (2010) (63)
- Top Arm Identification in Multi-Armed Bandits with Batch Arm Pulls (2016) (63)
- The Security of Latent Dirichlet Allocation (2015) (62)
- Are Female Applicants Disadvantaged in National Institutes of Health Peer Review? Combining Algorithmic Text Mining and Qualitative Methods to Detect Evaluative Differences in R01 Reviewers' Critiques. (2017) (62)
- Multimodal Meeting Tracker (2000) (62)
- Humans Perform Semi-Supervised Classification Too (2007) (61)
- Adaptive Reward-Poisoning Attacks against Reinforcement Learning (2020) (60)
- Data Poisoning Attacks in Contextual Bandits (2018) (57)
- Out-of-distribution Detection with Deep Nearest Neighbors (2022) (57)
- Training Set Debugging Using Trusted Items (2018) (57)
- The Teaching Dimension of Linear Learners (2015) (56)
- OASIS: Online Active Semi-Supervised Learning (2011) (55)
- Multimodal people ID for a multimedia meeting browser (1999) (53)
- Improving Reading to Improve Math (2012) (52)
- Graph Kernels by Spectral Transforms (2006) (49)
- A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning (2019) (48)
- Towards semi-supervised classification with Markov random fields (2002) (46)
- Human Semi-Supervised Learning (2013) (46)
- S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification (2015) (45)
- Semi-Supervised Learning Tutorial (2007) (44)
- Teaching a black-box learner (2019) (41)
- Explicit Defense Actions Against Test-Set Attacks (2017) (39)
- An Examination of Regret in Bullying Tweets (2013) (37)
- A machine learning approach to TCP throughput prediction (2010) (36)
- Correlation Clustering for Crosslingual Link Detection (2007) (36)
- Towards a universal speech interface (2000) (34)
- #bully: Uses of Hashtags in Posts About Bullying on Twitter (2015) (33)
- How creative is your writing? A linguistic creativity measure from computer science and cognitive psychology perspectives (2009) (32)
- Socioscope: Spatio-Temporal Signal Recovery from Social Media (Extended Abstract) (2012) (32)
- Building Community Wikipedias: A Machine-Human Partnership Approach (2008) (32)
- Can semi-supervised learning explain incorrect beliefs about categories? (2011) (31)
- Towards a multimodal meeting record (2000) (31)
- Kernel Regression with Order Preferences (2007) (31)
- New directions in semi-supervised learning (2010) (31)
- Easy as ABC? Facilitating Pictorial Communication via Semantically Enhanced Layout (2008) (30)
- Crop Type Classification by Simultaneous Use of Satellite Images of Different Resolutions (2014) (30)
- Cognitive Models of Test-Item Effects in Human Category Learning (2010) (30)
- Human Rademacher Complexity (2009) (29)
- An Optimal Control Approach to Sequential Machine Teaching (2018) (27)
- TagLDA: Bringing a document structure knowledge into topic models (2006) (27)
- Some new directions in graph-based semi-supervised learning (2009) (26)
- Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models (2019) (25)
- Ranking Biomedical Passages for Relevance and Diversity: University of Wisconsin, Madison at TREC Genomics 2006 (2006) (23)
- Online Data Poisoning Attack (2019) (23)
- p-voltages: Laplacian Regularization for Semi-Supervised Learning on High-Dimensional Data (2013) (20)
- A unified design for human-machine voice interaction (2001) (20)
- Robust Policy Gradient against Strong Data Corruption (2021) (19)
- An Optimal Control View of Adversarial Machine Learning (2018) (19)
- Should Adversarial Attacks Use Pixel p-Norm? (2019) (19)
- Are Key-Foreign Key Joins Safe to Avoid when Learning High-Capacity Classifiers? (2017) (18)
- Random Projection (17)
- Semi-supervised learning for genomic prediction of novel traits with small reference populations: an application to residual feed intake in dairy cattle (2016) (17)
- Universalizing speech: notes from the USI project (2001) (17)
- Reward Poisoning in Reinforcement Learning: Attacks Against Unknown Learners in Unknown Environments (2021) (16)
- Behavioral Factors in Interactive Training of Text Classifiers (2012) (16)
- The Label Complexity of Mixed-Initiative Classifier Training (2016) (16)
- Fingerprinting 802.11 rate adaption algorithms (2011) (16)
- Model-guided search for optimal natural-science-category training exemplars: A work in progress (2018) (15)
- Learning Higher-Order Graph Structure with Features by Structure Penalty (2011) (15)
- On The Accuracy of TCP Throughput Prediction for Opportunistic Wireless Networks (2009) (15)
- No Learner Left Behind: On the Complexity of Teaching Multiple Learners Simultaneously (2017) (15)
- Kernel conditional random fields : representation, clique selection, and semi-supervised learning (2004) (15)
- Policy Teaching in Reinforcement Learning via Environment Poisoning Attacks (2020) (15)
- Linguistic features for whole sentence maximum entropy language models (1999) (15)
- Human Memory Search as Initial-Visit Emitting Random Walk (2015) (13)
- Humans Learn Using Manifolds, Reluctantly (2010) (13)
- Semi-Supervised Learning for Natural Language Processing (2008) (13)
- Keepin’ It Real: Semi-Supervised Learning with Realistic Tuning (2009) (12)
- Co-Training as a Human Collaboration Policy (2011) (12)
- Learning Bigrams from Unigrams (2008) (12)
- Toward Text-to-Picture Synthesis (2009) (11)
- Semi-supervised Regression with Order Preferences (2006) (11)
- Stochastic Multiresolution Persistent Homology Kernel (2016) (11)
- Semi-supervised learning is observed in a speeded but not an unspeeded 2D categorization task (2010) (10)
- Drift in children's categories: when experienced distributions conflict with prior learning. (2015) (10)
- Incorporating domain knowledge in latent topic models (2010) (10)
- Trusted Machine Learning: Model Repair and Data Repair for Probabilistic Models (2017) (9)
- Celebrities emerge as advocates in tweets about bullying. (2016) (9)
- Interactive Feature Induction and Logistic Regression for Whole Sentence Exponential Language (1999) (9)
- Machine Learning-Assisted Binary Code Analysis (2007) (9)
- Teacher Improves Learning by Selecting a Training Subset (2018) (8)
- Machine Beats Human at Sequencing Visuals for Perceptual-Fluency Practice (2018) (8)
- Inferring compositional style in the neo-plastic paintings of Piet Mondrian by machine learning (2010) (8)
- Active Learning with Oracle Epiphany (2016) (7)
- Optimal Attack against Autoregressive Models by Manipulating the Environment (2019) (7)
- School Bullying in Twitter and Weibo: A Comparative Study (2014) (7)
- Some Submodular Data-Poisoning Attacks on Machine Learners (2015) (6)
- Semi-supervised learning is observed in a speeded but not an unspeeded 2 D categorization task (2010) (6)
- Using Machine Teaching to Investigate Human Assumptions when Teaching Reinforcement Learners (2020) (6)
- Learning from Human-Generated Lists (2013) (6)
- The Teaching Dimension of Q-learning (2020) (6)
- Algorithms for Active Classifier Selection: Maximizing Recall with Precision Constraints (2017) (6)
- Analysis of a Design Pattern for Teaching with Features and Labels (2016) (5)
- Model, Data and Reward Repair: Trusted Machine Learning for Markov Decision Processes (2018) (5)
- Error Lower Bounds of Constant Step-size Stochastic Gradient Descent (2019) (5)
- Optimal Adversarial Attack on Autoregressive Models (2019) (5)
- Metric Learning for Estimating Psychological Similarities (2012) (5)
- What causes category-shifting in human semi-supervised learning? (2015) (5)
- How Creative is Your Writing? (2009) (4)
- Training Set Camouflage (2018) (4)
- Machine Learning for Zoonotic Emerging Disease Detection (2011) (4)
- The Sample Complexity of Teaching by Reinforcement on Q-Learning (2021) (4)
- Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems (2020) (4)
- Using Machine Learning to Overcome the Expert Blind Spot for Perceptual Fluency Trainings (2019) (3)
- Game Redesign in No-regret Game Playing (2021) (3)
- Improving early reading comprehension using embodied (2010) (3)
- Bayesian learning of structures of ordered block graphical models with an application on multistage manufacturing processes (2020) (3)
- Modeling Social Cues: Effective Features for Predicting Listener Nods (2010) (2)
- Dragging: Density-Ratio Bagging (2013) (2)
- Machine Teaching as Search (2021) (2)
- Fooling Computer Vision into Inferring the Wrong Body Mass Index (2019) (2)
- Learning Root Source with Marked Multivariate Hawkes Processes (2018) (2)
- Optimal Teaching for Online Perceptrons (2016) (2)
- Using Machine Learning to Understand Changes in How Youth Discuss Bullying With Celebrities on Social Media (2018) (2)
- Word Learning through Sensorimotor Child-Parent Interaction: A Feature Selection Approach (2011) (2)
- Popular Imperceptibility Measures in Visual Adversarial Attacks are Far from Human Perception (2020) (1)
- Machine Learning and Formal Method (Dagstuhl Seminar 17351) (2017) (1)
- Optimal Defense Actions Against Test-Set Attacks (2016) (1)
- Practical Succinct Text Indexes in External Memory (2018) (1)
- With a Little Help from the Computer : Hybrid Human-Machine Systems on Bandit Problems (2010) (1)
- Online Learning in Monkeys (2008) (1)
- The Multimodal Focused Topic Model: A Nonparametric Bayesian Approach to Simultaneous Object Classification and Attribute Discovery (2012) (1)
- Estimating GPU Speedups for Programs Without Writing a Single Line of GPU Code (2014) (1)
- Document Recovery from Bag-of-Word Indices (2008) (1)
- Can We Distinguish Machine Learning from Human Learning? (2019) (1)
- Finite sample analysis of semi-supervised learning Technical Report ECE-0803 (2008) (1)
- A Cognitive Study of Learning with Labeled and Unlabeled Data (2012) (0)
- A Bayesian model for image sense ambiguity in pictorial communication systems (2011) (0)
- CS 761 Spring 2013 Advanced Machine Learning Statistical Learning Theory (0)
- State Attack on Autoregressive Models (2019) (0)
- Stop That Join! Discarding Dimension Tables when Learning High Capacity Classifiers (2017) (0)
- An Image-To-Speech iPad App (2012) (0)
- Robust Spatio-Temporal Signal Recovery from Noisy Counts in Social Media (2012) (0)
- Statistical Machine Learning for NLP (2013) (0)
- Machine Teaching for Bayesian Learners (2013) (0)
- Semi-Supervised Learning Combining Phenotyped and Non-phenotyped individuals for Enhancing Prediction in Residual Feed Intake (2014) (0)
- Non-Parametric Outlier Synthesis (2023) (0)
- Cs761 Spring 2013 Advanced Machine Learning Dimensionality Reduction (0)
- Learning to Read through Machine Teaching (2020) (0)
- CS761 Spring 2013 Advanced Machine Learning (2013) (0)
- Semi-Supervised Learning Using Gaussian Fields and Harmon ic Functions (2004) (0)
- Hierarchical Topic Models for Image Categorization (2006) (0)
- A HIDDEN MARKOV MODEL’S AGREEMENT WITH CLINICAL DIAGNOSES AND ITS INDICATION OF ADDITIONAL PRECLINICAL COGNITIVE DEFICITS IN THE WISCONSIN REGISTRY FOR ALZHEIMER’S PREVENTION (2017) (0)
- Corpus THAT ’ S YOUR NEWS ON THE DAY BEFORE CHRISTMAS THIRTY FIVE PAST THE HOUR < / s > (1999) (0)
- Program Synthesis from Visual Specification (2018) (0)
- 2 Classic Teaching Dimension and its Limitations (2018) (0)
- Semi-supervised learning for genomic prediction of novel traits with small reference populations: an application to residual feed intake in dairy cattle (2016) (0)
- Who Started It? Identifying Root Sources in Textual Conversation Threads. (2019) (0)
- Some Notes on Kernel CRFs Xiaojin Zhu (2005) (0)
- Recovery from Bag-of-Word Indices Nathanael (2008) (0)
- Theory of Machine Learning Debugging via M-estimation (2020) (0)
- CS 761 Spring 2013 Advanced Machine Learning Basics of Statistical Machine Learning (0)
- Preference-Based Batch and Sequential Teaching (2020) (0)
- CS 731 Spring 2011 Advanced Artificial Intelligence Dimensionality Reduction (0)
- Provable training set debugging for linear regression (2020) (0)
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What Schools Are Affiliated With Xiaojin Zhu?
Xiaojin Zhu is affiliated with the following schools:
